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EMPLOYEE DISSATISFACTION
QCL V4
PARETO ANALYSIS
 Pareto Analysis is a statistical
technique in decision-making
used for the selection of a
limited number of tasks that
produce significant overall
effect.
 It uses the Pareto Principle
(also known as the 80/20 rule)
that by doing 20% of the work
(Vital few), you can generate
80% of the benefit of doing the
entire job.
Arrange the
rows in the
decreasing
order of
importance
of the
causes
Form an
explicit
table
listing the
causes and
their
frequency
as a
percentage
Add a
cumulative
percentage
column to
the table
Plot with
causes on x-
and
cumulative
percentage
on y-axis
Join the
above points
to form a
curve
Plot (on the
same graph)
a bar graph
with causes
on x- and
percent
frequency
on y-axis
Draw a line at
80% on y-axis
parallel to x-
axis. Then
drop the line
at the point
of
intersection
with the
curve on x-
axis. This
point on the
x-axis
separates the
important
causes (on
the left) and
trivial causes
(on the right)
Explicitly
review the
chart to
ensure that
causes
accounting to
at least 80%
of the
problems are
captured
When to use it?
 When analyzing data about the
frequency of problems or causes in a
process.
 When there are many problems or
causes and you want to focus on the
most significant.
 When analyzing broad causes by
looking at their specific components.
 When communicating with others
about your data.
STRATIFICATION OF EMPLOYEE
DISSATISFACTION
 ODD WORKING HOURS
 LACK OF INTEREST
 WORK LOAD
 POOR PAY
 JOB INSECURITY
 LACK OF PROMOTION
 POOR BENEFITS
 FAMILY LIFE
 HEALTH ISSUE
 CAREER DEVELOPMENT.
PRIORITIZED TABLE
Sl.No. CAUSE FREQUENCY COMULATIVE
FREQUENCY
1 Family Life 22 22
2 Odd Working Hours 18 40
3 Lack Of Interest 16 56
4 Poor Pay 11 67
5 Job Insecurity 8 75
6 Work Load 7 82
7 Lack Of Promotion 6 88
8 Poor Benefits 5 93
9 Health Issue 4 97
10 Career Development 3 100
PARETO ANALYSIS
Frequency
0
20
40
60
80
100
22
18 16
11 8 7 6 5 4 3
22
40
56
67 75 82 88 93 97 100
Frequency
Cumulative%
Cumulative %
SYMPTOMS THAT ACCOUNT
FOR 80% FREQUENCY
Family Life
Odd Working Hours
Lack Of Interest
Poor Pay
 Job Insecurity
PROBLEM DEFINITION
 Sometimes due to workload, employees
have to work even after their working
hours.
 Evenings are the best time to spend
quality time with your spouse and
children and those are actually your
working hours.
 Due to different transfers which take
place in the offices, employees have to
live away from their family.
 Your life as an employee can be very
lonely and frustrating at times.
FAMILY LIFE
ODD WORKING HOURS
 Most of the BPOs (Business
Processing Outsourcing) in India
support overseas operations and
majority of professionals have night
shifts.
 In majority of cases Indian BPO
jobs mostly have odd hours.
 Odd working hours leads to weird
eating schedule.
 Sleep is also affected.
Lack Of Interest
 Today everyone focus on getting
best job suited according to their
interest.
 Due less opportunity in that
particular field they are forced to
work in the places where they don’t
have interest and so they are
unsatisfied.
 Work without interest is found to be
comparatively more tiresome.
Poor Pay
 In private sector, people are
recruited at low wages which is not
sufficient for livelihood.
 The stress of paying bills with
limited income, causes many
workers to feel dissatisfied with
their jobs.
 Low wages family are more at risk
for health problems.
Job Insecurity
 Due to high competition among the
employees, job is not secured.
 There are larger number of
employers for the particular post as
compared to the available vacancy.
 Job insecurity leads to stress among
the individual.
LESSONS LEARNT
 We learnt about the different
problems which leads to Job
switching.
 With the help of pareto graph,
we analyzed the most
significant causes of job
switching.
 It enable better preparation
and improvements in decision
making for future challenges.
 QCL-15-v4_[4]_[Banasthali University]_[Bhavya Madan]

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QCL-15-v4_[4]_[Banasthali University]_[Bhavya Madan]

  • 2.  Pareto Analysis is a statistical technique in decision-making used for the selection of a limited number of tasks that produce significant overall effect.  It uses the Pareto Principle (also known as the 80/20 rule) that by doing 20% of the work (Vital few), you can generate 80% of the benefit of doing the entire job.
  • 3. Arrange the rows in the decreasing order of importance of the causes Form an explicit table listing the causes and their frequency as a percentage Add a cumulative percentage column to the table Plot with causes on x- and cumulative percentage on y-axis Join the above points to form a curve Plot (on the same graph) a bar graph with causes on x- and percent frequency on y-axis Draw a line at 80% on y-axis parallel to x- axis. Then drop the line at the point of intersection with the curve on x- axis. This point on the x-axis separates the important causes (on the left) and trivial causes (on the right) Explicitly review the chart to ensure that causes accounting to at least 80% of the problems are captured
  • 4. When to use it?  When analyzing data about the frequency of problems or causes in a process.  When there are many problems or causes and you want to focus on the most significant.  When analyzing broad causes by looking at their specific components.  When communicating with others about your data.
  • 5. STRATIFICATION OF EMPLOYEE DISSATISFACTION  ODD WORKING HOURS  LACK OF INTEREST  WORK LOAD  POOR PAY  JOB INSECURITY  LACK OF PROMOTION  POOR BENEFITS  FAMILY LIFE  HEALTH ISSUE  CAREER DEVELOPMENT.
  • 6. PRIORITIZED TABLE Sl.No. CAUSE FREQUENCY COMULATIVE FREQUENCY 1 Family Life 22 22 2 Odd Working Hours 18 40 3 Lack Of Interest 16 56 4 Poor Pay 11 67 5 Job Insecurity 8 75 6 Work Load 7 82 7 Lack Of Promotion 6 88 8 Poor Benefits 5 93 9 Health Issue 4 97 10 Career Development 3 100
  • 7. PARETO ANALYSIS Frequency 0 20 40 60 80 100 22 18 16 11 8 7 6 5 4 3 22 40 56 67 75 82 88 93 97 100 Frequency Cumulative% Cumulative %
  • 8. SYMPTOMS THAT ACCOUNT FOR 80% FREQUENCY Family Life Odd Working Hours Lack Of Interest Poor Pay  Job Insecurity
  • 9. PROBLEM DEFINITION  Sometimes due to workload, employees have to work even after their working hours.  Evenings are the best time to spend quality time with your spouse and children and those are actually your working hours.  Due to different transfers which take place in the offices, employees have to live away from their family.  Your life as an employee can be very lonely and frustrating at times. FAMILY LIFE
  • 10. ODD WORKING HOURS  Most of the BPOs (Business Processing Outsourcing) in India support overseas operations and majority of professionals have night shifts.  In majority of cases Indian BPO jobs mostly have odd hours.  Odd working hours leads to weird eating schedule.  Sleep is also affected.
  • 11. Lack Of Interest  Today everyone focus on getting best job suited according to their interest.  Due less opportunity in that particular field they are forced to work in the places where they don’t have interest and so they are unsatisfied.  Work without interest is found to be comparatively more tiresome.
  • 12. Poor Pay  In private sector, people are recruited at low wages which is not sufficient for livelihood.  The stress of paying bills with limited income, causes many workers to feel dissatisfied with their jobs.  Low wages family are more at risk for health problems.
  • 13. Job Insecurity  Due to high competition among the employees, job is not secured.  There are larger number of employers for the particular post as compared to the available vacancy.  Job insecurity leads to stress among the individual.
  • 14. LESSONS LEARNT  We learnt about the different problems which leads to Job switching.  With the help of pareto graph, we analyzed the most significant causes of job switching.  It enable better preparation and improvements in decision making for future challenges.